#data-structures #serialization #serde

bin+lib serde-generate

Generate (de)serialization code in multiple languages

47 releases

0.20.2 Oct 12, 2021
0.19.4 Sep 15, 2021
0.19.3 May 26, 2021
0.19.1 Mar 11, 2021
0.8.0 Jul 28, 2020

#103 in Encoding

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Used in tfschema-bindgen


13K SLoC

Rust 9K SLoC // 0.0% comments Go 1K SLoC // 0.0% comments Python 1K SLoC // 0.0% comments Java 890 SLoC // 0.1% comments C# 745 SLoC // 0.0% comments TypeScript 400 SLoC // 0.0% comments


serde-generate on crates.io Documentation (latest release) Documentation (master) License License

This crate aims to compile the data formats extracted from Rust by serde-reflection into type definitions and (de)serialization methods for other programming languages.

It can be used as a library or as a command-line tool (see serdegen below).

Supported Languages

The following programming languages are fully supported as target languages:

  • C++ 17
  • Java 8
  • Python 3 (requires numpy >= 1.20.1)
  • Rust 2018
  • Go >= 1.14
  • C# (NetCoreApp >= 2.1)

The following languages are partially supported and still considered under development:

  • TypeScript 4 (packaged and tested with Deno)

Supported Encodings

Type definitions in a target language are meant to be used together with a runtime library that provides (de)serialization in a particular Serde encoding format.

This crate provides easy-to-deploy runtime libraries for the following binary formats, in all supported languages:

  • Bincode (default configuration only),
  • BCS (short for Binary Canonical Serialization, the main format used in the Diem blockchain).

Quick Start with Python and Bincode

In the following example, we transfer a Test value from Rust to Python using bincode.

use serde::{Deserialize, Serialize};
use serde_reflection::{Registry, Tracer, TracerConfig};
use std::io::Write;

#[derive(Serialize, Deserialize)]
struct Test {
    a: Vec<u64>,
    b: (u32, u32),

// Obtain the Serde format of `Test`. (In practice, formats are more likely read from a file.)
let mut tracer = Tracer::new(TracerConfig::default());
let registry = tracer.registry().unwrap();

// Create Python class definitions.
let mut source = Vec::new();
let config = serde_generate::CodeGeneratorConfig::new("testing".to_string())
let generator = serde_generate::python3::CodeGenerator::new(&config);
generator.output(&mut source, &registry)?;

class Test:
    a: typing.Sequence[st.uint64]
    b: typing.Tuple[st.uint32, st.uint32]

// Append some test code to demonstrate Bincode deserialization
// using the runtime in `serde_generate/runtime/python/bincode`.
value = Test.bincode_deserialize(bytes({:?}))
assert value == Test(a=[4, 6], b=(3, 5))
    bincode::serialize(&Test { a: vec![4, 6], b: (3, 5) }).unwrap(),

// Execute the Python code.
let mut child = std::process::Command::new("python3")
    .env("PYTHONPATH", std::env::var("PYTHONPATH").unwrap_or_default() + ":runtime/python")
let output = child.wait_with_output()?;

Binary Tool

In addition to a Rust library, this crate provides a binary tool serdegen to process Serde formats saved on disk.

The tool serdegen assumes that a Rust value of type serde_reflection::Registry has been serialized into a YAML file. The recommended way to generate such a value is to use the library serde-reflection to introspect Rust definitions (see also the example above).

For a quick test, one may create a test file like this:

cat >test.yaml <<EOF
      B: UNIT

Then, the following command will generate Python class definitions and write them into test.py:

cargo run -p serde-generate -- --language python3 test.yaml > test.py

To create a python module test and install the bincode runtime in a directory $DEST, you may run:

cargo run -p serde-generate -- --language python3 --with-runtimes serde bincode --module-name test --target-source-dir "$DEST" test.yaml

See the help message of the tool with --help for more options.

Note: Outside of this repository, you may install the tool with cargo install serde-generate then use $HOME/.cargo/bin/serdegen.


See the CONTRIBUTING file for how to help out.


This project is available under the terms of either the Apache 2.0 license or the MIT license.


~79K SLoC